论文标题
静止照片的水模拟和渲染
Water Simulation and Rendering from a Still Photograph
论文作者
论文摘要
我们提出了一种通过单个静止输入照片模拟和渲染逼真的水动画的方法。我们首先通过神经网络和传统优化技术的结合进行水面，估计渲染参数以及计算水反射纹理。然后，我们提出了一个基于图像的屏幕空间本地反射模型，以使水面在输入图像上覆盖并生成实时水上动画。我们的方法在没有用户干预的情况下为各种各样的自然场景提供了现实的结果，这些场景包含具有不同照明和水面条件的大型水体。由于我们的方法提供了水面的3D表示，因此它自然可以直接编辑水参数，并支持交互式应用，例如将合成对象添加到场景中。
We propose an approach to simulate and render realistic water animation from a single still input photograph. We first segment the water surface, estimate rendering parameters, and compute water reflection textures with a combination of neural networks and traditional optimization techniques. Then we propose an image-based screen space local reflection model to render the water surface overlaid on the input image and generate real-time water animation. Our approach creates realistic results with no user intervention for a wide variety of natural scenes containing large bodies of water with different lighting and water surface conditions. Since our method provides a 3D representation of the water surface, it naturally enables direct editing of water parameters and also supports interactive applications like adding synthetic objects to the scene.
